Weighted Multi-Criteria Soft Trust offloading for Fog Computing

Abstract

An innovative, intriguing paradigm called fog computing has the potential to solve the issues with conventional cloud computing. Fog server are used to process, manage, and store private and sensitive data, therefore security and privacy concerns need to be resolved before the fundamental of this certified technology. Putting into place a trust management system is one of these measures. A node's (or trustee's) reliability is evaluated using a set of standards decided upon by the trustor. To enable a trustor to assess the degree to which a parameter contribute the overall trust value of a trustee and if its beneficial to work with the node, it is imperative to identify and prioritise these criteria.  The prioritisation of the trust parameter is a multi-task decision-making (MCDM) problem because it calls for the simultaneous consideration of several different criteria. In this study, trust parameters in fog computing are identified and given priority using a fuzzy analytics hierarchical process (Fuzzy-AHP) techniqu. The findings suggest that quality of service (QoS), quality of security (QoSec), and suggestions are the top prioritised parameters that a service requester can use to assess the amount of trust in a service provider. A service provider can use social relationships, which are ranked as the highest level of trust, to assess the degree of truthfulness of a svice requester, whereas reputation of past is  least important factor.